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{

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   "@context": "https://schema.org",
   "@type": "Article",
   "additionalType": "Journal Article",
   "name": "Estimating reach-specific fish movement probabilities in rivers with a Bayesian state-space model: application to sea lamprey passage and capture at dams",
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       "value": "10.1139/cjfas-2013-0581",
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     "@type": "Periodical",
     "name": "Canadian Journal of Fisheries and Aquatic Sciences",
     "volumeNumber": "71",
     "issueNumber": "11"
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   "datePublished": "2014",
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   "abstract": "Improved methods are needed to evaluate barriers and traps for control and assessment of invasive sea lamprey (Petromyzon marinus) in the Great Lakes. A Bayesian state-space model provided reach-specific probabilities of movement, including trap capture and dam passage, for 148 acoustic tagged invasive sea lamprey in the lower Cheboygan River, Michigan, a tributary to Lake Huron. Reach-specific movement probabilities were combined to obtain estimates of spatial distribution and abundance needed to evaluate a barrier and trap complex for sea lamprey control and assessment. Of an estimated 21\u2009828 \u2013 29\u2009300 adult sea lampreys in the river, 0%\u20132%, or 0\u2013514 untagged lampreys, could have passed upstream of the dam, and 46%\u201361% were caught in the trap. Although no tagged lampreys passed above the dam (0/148), our sample size was not sufficient to consider the lock and dam a complete barrier to sea lamprey. Results also showed that existing traps are in good locations because 83%\u201396% of the population was vulnerable to existing traps. However, only 52%\u201369% of lampreys vulnerable to traps were caught, suggesting that traps can be improved. The approach used in this study was a novel use of Bayesian state-space models that may have broader applications, including evaluation of barriers for other invasive species (e.g., Asian carp (Hypophthalmichthys spp.)) and fish passage structures for other diadromous fishes.",
   "description": "17 p.",
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